Qwen Qwen3 4B Thinking 2507 FP8 speed on RTX 4070 Super and quantization-level VRAM fit.
RTX 4070 Super meets the minimum VRAM requirement for Q4 inference of Qwen Qwen3 4B Thinking 2507 FP8. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4070 Super can run Qwen Qwen3 4B Thinking 2507 FP8 with Q4 quantization. At approximately 87 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 10GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 12GB | 87.19 tok/s | ✅ Fits comfortably |
| Q8 | 4GB | 12GB | 61.03 tok/s | ✅ Fits comfortably |
| FP16 | 8GB | 12GB | 33.13 tok/s | ✅ Fits comfortably |
RTX 4070 Super can run Qwen Qwen3 4B Thinking 2507 FP8 at Q4 with an estimated 87 tok/s.
Q4 inference is estimated to need about 2GB VRAM on this page, while RTX 4070 Super has 12GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.